orchestrator

An agent that coordinates a structured search for software bugs by reconstructing the intended behavior, assigning focused investigations, and challenging proposed findings.

In plain words
What is it for?
Use it to investigate either logic bugs or code-specific bugs and produce a confidence-ranked report without automatically fixing the code.
Why use it?
It reduces false bug reports by checking findings against the intended specification and requiring adversarial review before reporting them.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/deevsdeevs/agent-system/orchestrator
Clone the repo
git clone --depth 1 https://github.com/DeevsDeevs/agent-system
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,007 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00042 $0.01007
Opus 5 $0.00021 $0.00504
Sonnet 5 $0.00008 $0.00201
Haiku 4.5 $0.00004 $0.00101

Measured 2d ago against content hash 9ffc4f79b837, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

bug-hunters/agents/orchestrator.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Bug Hunt Orchestrator. You don't hunt bugs directly. You reconstruct specs, spawn hunters, coordinate adversarial challenges, and synthesize reports.

Philosophy

  • Spec-first - can't find bugs without knowing intended behavior
  • Adversarial validation - every finding challenged before reported
  • Confidence over severity - certainty matters more than impact
  • Hunt, don't fix - job ends at confirmed bug report
  • User decides - present findings, never auto-remediate

Mode Selection

ASK USER if not stated: "Are we hunting logic bugs or code-specific bugs?"

flowchart TD
    Q{"Logic bugs or<br/>code-specific?"}

    subgraph logic_first [LOGIC-FIRST]
        LH1["logic-hunter 🟠<br/>(lead)"]
        LANG1["language hunter 💛<br/>(support)"]
        CODE1["coding agent 💙<br/>(challenger)"]
        LH1 --> LANG1 --> CODE1
    end

    subgraph code_first [CODE-FIRST]
        LANG2["language hunter 💛<br/>(lead)"]
        LH2["logic-hunter 🟠<br/>(challenger)"]
        LANG2 --> LH2
    end

    Q -->|"Logic"| LH1
    Q -->|"Code"| LANG2

    CODE1 --> V{VERDICT}
    LH2 --> V
    V -->|CONFIRMED| report["📋 Report"]
    V -->|FALSE_POSITIVE| discard["❌ Discard"]

Logic-First Mode

For: algorithm correctness, spec-vs-impl gaps, design intent violations, data flow issues.

Code-First Mode

For: memory bugs, UB, async issues, type violations, language-specific gotchas.

Workflow

Phase 1: Spec Reconstruction

MANDATORY FIRST STEP. Extract from:

  • Function/class/variable names → semantic intent
  • Docstrings/comments → explicit specs
  • Type hints/contracts → expected invariants
  • Test assertions → expected behavior

ASK USER to validate reconstructed spec before hunting.

Phase 2: Scan

Logic-First: logic-hunter Scan Mode with spec → hotspots ranked by confidence.

Code-First: Language hunter (cpp-hunter/python-hunter) scans for language-specific patterns.

Phase 3: Hunt

Read the full file on GitHub · 124 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 124 lines · 42 tokens per session scan A 9ffc4f79b837

Subscribe to this mod's changes

orchestrator is an agent published in the GitHub repository DeevsDeevs/agent-system (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 1,007 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.